Yasunari Masumura (First-Year Master's Student, Graduate School of Media and Governance) and Associate Professor Hideyuki Kawashima of the Faculty of Environment and Information Studies Win Best Paper Award - 2nd Place at the 2022 IEEE International Conference on Big Data and Smart Computing (BigComp)

2022.02.09

Research on transactions by Yasunari Masumura (a first-year master's student at the Graduate School of Media and Governance), Associate Professor Hideyuki Kawashima of the Faculty of Environment and Information Studies, and their collaborators won the Best Paper Award - 2nd Place at the 2022 IEEE International Conference on Big Data and Smart Computing (BigComp).

In their paper titled "Accelerating Concurrency Control with Active Thread Adjustment," Associate Professor Kawashima and his team proposed a new optimization method for transaction processing. They discovered that, surprisingly, applying this method allows the optimistic concurrency control method Silo to demonstrate high performance under high-contention workloads, which was considered its weakness.

The Silo protocol is considered simple, elegant, high-performing, and highly practical. However, it was thought to be unable to perform well under high-contention workloads. This new method overcomes that weakness, making this simple approach available in a wide range of situations. As the integration of real and cyber spaces progresses, a vast number of transactions will be generated to maintain consistency between them, and we were able to present a simple, robust, and high-performance system design for that future. This achievement had already received an award at the domestic conference xSIG , and I am delighted that it has now been recognized at an international conference as well. To achieve this result, I was greatly helped by the theoretical and practical knowledge of my co-author, Mr. Takashi Hoshino of Cybozu Labs, Inc.

I am very pleased that my research has been recognized at a major event like an international conference. I would like to express my deepest gratitude to those who supported my research, including Professor Kawashima and Mr. Hoshino of Cybozu Labs, Inc. In my future research activities, I will strive to produce even more interesting and beneficial results for the world.

2022 IEEE International Conference on Big Data and Smart Computing

Profile of Associate Professor Hideyuki Kawashima, Faculty of Environment and Information Studies

Issued by: General Affairs Section, Shonan Fujisawa Campus (SFC) Office